Leptin attenuates hypoxia/reoxygenation‐induced activation of the intrinsic pathway of apoptosis in rat H9c2 cells
Bibliographic record
Abstract
Cardiomyocyte apoptosis is a component of cardiac remodeling that can contribute to heart failure in obesity. A role for leptin in mediating this process has been suggested and the objective of this work was to investigate the effect of leptin on apoptosis and associated mechanisms in H9c2 cells which were subjected to hypoxia/reoxygenation (HR) to mimic myocardial ischemia/reperfusion. Qualitative immunofluorescent and quantitative laser scanning cytometry approaches demonstrated that exposure of cells to HR increased DNA fragmentation (TUNEL staining) which was attenuated by leptin (6 nM, 1 h) pretreatment. We also found increased annexin-V binding and caspase-3 activity in cells exposed to HR, both of which were attenuated by leptin pretreatment. Leptin reduced HR-induced translocation of the pro-apoptotic protein Bax to the mitochondrial membrane, which provides a mechanism to explain its protective effect. Consequently, leptin attenuated the HR-induced decrease in mitochondrial membrane potential and increase in cytochrome c release from mitochondria. Leptin treatment increased the phosphorylation of p38 MAPK and AMPK and respective inhibitors of these kinases, SB203580 and Compound C, prevented the ability of leptin to decrease HR-induced caspase-3 activity. In conclusion, we establish mechanisms via which leptin exerts anti-apoptotic effects that may be of significance in understanding the development of heart failure in obesity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".